Decisioning Analyst (UK Based) - Pega Experience - Inside IR35

Gigged.AI is a freelance talent marketplace specialising in the IT and technology sector. We have an opportunity live at the moment with one of our clients for a Decisioning Analyst - Pega Experience (Inside IR35) - UK based If interested then you must submit a proposal through the Gigged.AI website for this gig. You can do so here - https://app.gigged.ai/ Location: UK based (preferably occasional days in Glasgow Office) IR35: Inside IR35 Duration: 45 days (over 8-10 week period) estimated start of 6th October You will be engaged to work with a UK retail bank’s Pega Personalisation Squad. The squad is experienced in agile delivery of Next Best Actions (NBA's), but relatively new to Pega CDH’s out-of-the-box AI and monitoring tools, and so require a decisioning analyst to help leverage these tools as they scale the NBA's for this client. We really need someone who is a hands on analyst working on campaigns, building models and analysing campaign performance. The bank’s leadership wants to see measurable improvements in: - Customer engagement (better NBA adoption & treatment effectiveness) - Transparency (ability to explain why actions were chosen, for regulatory compliance) - Optimisation (fewer missed opportunities, higher conversion from existing treatments) Scope / activities (working within multidisciplinary squad) - Profile customers and their journeys, to help inform design of NBA's - Embed customer data and existing client predictive models into selected customer journey's and NBA's - Test & optimise decisioning strategies and simulate commercial and customer outcomes from developed NBA strategies - Track the performance of NBA's, and make recommendations for further improvements to customer journeys - Develop the use of Pega's self learning models within NBA strategies, ensuring compliance and explainability. Experience required - Working knowledge of the Pega CDH platform and associated analysis tools, with Pega certifications evident - Experience in using statistical models within broader customer engagement projects - Ability to visualise and story tell to non technical audiences Working knowledge of SAS and SQL (to work within the client's broader data eco-system)